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The Future of Search & AI
Trey Grainger
SVP of Engineering, Lucidworks
@treygrainger
#Activate18 #ActivateSearch
612ATTENDEES
39COUNTRIES
70SESSIONS
So what are the current and 

upcoming trends in Search & AI?
Big Data?
We need big answers.
Because we don’t need “big data.”
Solr leads the way
on Learning to Rank
And that mass adoption of LTR looks like this..
But what about all the other aspects
of Search beyond AI?
relevance, scale, bm25, user experience, learning to rank,
autoscaling, sys admin, server provisioning, lemmatization/stemming,
cloud, docker, aws, natural language processing, etl, entity extraction,
tf-idf, phrase detection, semantic search, query pipelines, connectors,
web crawling, signals, real-time recommendations, personalization,
question answering, request handlers, search components,
autocomplete, spell checking, synonyms, stop words, query-log
mining, probabilistic query parsing, boolean queries, geo-spatial
queries, image search, voice search, classification models, bi-
directional cross-datacenter replication, semantic knowledge graphs,
ontology management, merchandizing, entity type detection, query
classification, word embeddings, query parsers, highlighting, analyzers,
tokenization, streaming expressions, faceting, concept clustering,
more like this, insight engine, apache lucene/solr, lucidworks fusion,
some kind of crazy magic, that white box with the magnifying glass...
What Is Search?
There are a LOT of skillsets required to
deliver a world-class Search experience
Scaling search can be really hard
Ease of operations, scaling, and
performance are a top priority
We're drastically improving ease of operations
Time factors
•
And making the cluster aware of its own needs
Size factors Budget factors
• Scaling Policies
• Server Metrics
• Event Triggers
• Disk Space Free
• Prioritizing Traffic
• CPU Too High
• Traffic Increasing
• Need more Nodes
• Shards out of balance
• Back Pressure
• Traffic Increasing
• Server Lost
or.
How I indexed *.
... and lived to tell the tale ....
* simulated.
1.000.000.000.000
documents.
Final Thoughts
There is an ongoing shift away from "big data"
and toward actionable intelligence
Assistive Search is the new paradigm
•Requires personalization
•Voice
•Image Search
•Conversational
•Contextual (location, last search)
•Beyond links and information to 

Answers and Action
... and Search is now the de-facto user interface for 

digital interaction with your customers
The future of business success hinges on the
outcomes of billions of digital moments
FIND 

the correct
product
CONNECT 

to the right
person KNOW
exactly what
to do next
DRIVE
relevant
conversations
RESOLVE
a problem
The Future of Search & AI
Starts Now.
Thank you!
@treygrainger
#Activate18 #ActivateSearch

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The Future of Search and AI

  • 1. The Future of Search & AI Trey Grainger SVP of Engineering, Lucidworks @treygrainger #Activate18 #ActivateSearch
  • 3.
  • 4. So what are the current and 
 upcoming trends in Search & AI?
  • 5.
  • 6.
  • 8.
  • 9.
  • 10.
  • 11.
  • 12.
  • 13. We need big answers. Because we don’t need “big data.”
  • 14.
  • 15.
  • 16.
  • 17.
  • 18. Solr leads the way on Learning to Rank
  • 19.
  • 20. And that mass adoption of LTR looks like this..
  • 21. But what about all the other aspects of Search beyond AI?
  • 22. relevance, scale, bm25, user experience, learning to rank, autoscaling, sys admin, server provisioning, lemmatization/stemming, cloud, docker, aws, natural language processing, etl, entity extraction, tf-idf, phrase detection, semantic search, query pipelines, connectors, web crawling, signals, real-time recommendations, personalization, question answering, request handlers, search components, autocomplete, spell checking, synonyms, stop words, query-log mining, probabilistic query parsing, boolean queries, geo-spatial queries, image search, voice search, classification models, bi- directional cross-datacenter replication, semantic knowledge graphs, ontology management, merchandizing, entity type detection, query classification, word embeddings, query parsers, highlighting, analyzers, tokenization, streaming expressions, faceting, concept clustering, more like this, insight engine, apache lucene/solr, lucidworks fusion, some kind of crazy magic, that white box with the magnifying glass... What Is Search?
  • 23. There are a LOT of skillsets required to deliver a world-class Search experience
  • 24. Scaling search can be really hard
  • 25. Ease of operations, scaling, and performance are a top priority
  • 26. We're drastically improving ease of operations
  • 27. Time factors • And making the cluster aware of its own needs Size factors Budget factors • Scaling Policies • Server Metrics • Event Triggers • Disk Space Free • Prioritizing Traffic • CPU Too High • Traffic Increasing • Need more Nodes • Shards out of balance • Back Pressure • Traffic Increasing • Server Lost
  • 28. or. How I indexed *. ... and lived to tell the tale .... * simulated. 1.000.000.000.000 documents.
  • 30. There is an ongoing shift away from "big data" and toward actionable intelligence
  • 31. Assistive Search is the new paradigm •Requires personalization •Voice •Image Search •Conversational •Contextual (location, last search) •Beyond links and information to 
 Answers and Action
  • 32. ... and Search is now the de-facto user interface for 
 digital interaction with your customers
  • 33. The future of business success hinges on the outcomes of billions of digital moments FIND 
 the correct product CONNECT 
 to the right person KNOW exactly what to do next DRIVE relevant conversations RESOLVE a problem
  • 34. The Future of Search & AI Starts Now.